60 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at University of Copenhagen
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for veterinary antimicrobial stewardship and infection prevention. Information on the department and the section can be found at: https://ivh.ku.dk/ . Our research The Assistant Professor will be part of the OHAR
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qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk
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working with large collaborative code projects Proficiency in applying AI-driven algorithms (e.g., neural networks, reinforcement learning) for the creation of surrogate models and the autonomous
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Centre for Climate Change Law and Governance (CLIMA) calls on all dedicated students to apply for a position as student help. Read more about CLIMA here: https://jura.ku.dk/clima/about/ . Work Tasks
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here: https://employment.ku.dk/faculty/criteria-for-recognising-merit . Furthermore, we are looking for a highly motivated and enthusiastic scientist with the following skills and experience: Essential
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of Copenhagen. The University of Copenhagen was founded in 1479 and is the largest in Denmark. Read more about the museum at http://www.snm.ku.dk/english/ . The position is open from 1 July 2026, or as soon as
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assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database . Please note that we might ask you to obtain an assessment of your education performed by
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information about the CIIR center’s activities and overall research agenda can be found at https://jura.ku.dk/ciir/english/about/ An assistant professorship is a further-education post. The main
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Attend PhD courses Write scientific articles and your PhD thesis Teach and disseminate your research To stay at an external research institution for a few months, preferably abroad Work for the department
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation